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"""
This is a batched LSTM forward and backward pass
"""
import numpy as np
import code
class LSTM:
@staticmethod
def init(input_size, hidden_size, fancy_forget_bias_init = 3):
  1. General Background and Overview

I'm hunting for the best solution on how to handle keeping large sets of DB records "sorted" in a performant manner.

Problem Description

Most of us have work on projects at some point where we have needed to have ordered lists of objects. Whether it be a to-do list sorted by priority, or a list of documents that a user can sort in whatever order they want.

A traditional approach for this on a Rails project is to use something like the acts_as_list gem, or something similar. These systems typically add some sort of "postion" or "sort order" column to each record, which is then used when querying out the records in a traditional order by position SQL query.

This approach seems to work fine for smaller datasets, but can be hard to manage on large data sets with hundreds (or thousands) of records needing to be sorted. Changing the sort position of even a single object will require updating every single record in the database that is in the same sort group. This requires potentially thousands of wri

@zclfly
zclfly / app.rb
Created October 7, 2013 15:41 — forked from cpatni/app.rb
require 'sinatra'
require 'redis'
require 'json'
require 'date'
class String
def &(str)
result = ''
result.force_encoding("BINARY")
# 1. Make sure you have nginx sub module compiled in
# nginx -V 2>&1 | grep --color=always '\-\-with\-http_sub_module'
# 2. add two directives below at HTTP level
# nginx.conf
http {
# ......
sub_filter '</head>' '<style type="text/css">html{ filter:progid:DXImageTransform.Microsoft.BasicImage(grayscale=1); -webkit-filter: grayscale(100%); } img { _filter:progid:DXImageTransform.Microsoft.BasicImage(grayscale=0); -webkit-filter: grayscale(100%); } </style>';